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MICAI
2009
Springer
15 years 11 months ago
A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
Julio H. Zaragoza, Eduardo F. Morales
ECCV
2010
Springer
15 years 9 months ago
Efficient Inference with Multiple Heterogeneous Part Detectors for Human Pose Estimation
We address the problem of estimating human pose in a single image using a part based approach. Pose accuracy is directly affected by the accuracy of the part detectors but more acc...
CORR
2004
Springer
108views Education» more  CORR 2004»
15 years 4 months ago
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms
Abstract. This paper presents two different efficiency-enhancement techniques for probabilistic model building genetic algorithms. The first technique proposes the use of a mutatio...
Kumara Sastry, David E. Goldberg, Martin Pelikan
PR
2010
147views more  PR 2010»
15 years 3 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani
JMLR
2010
169views more  JMLR 2010»
14 years 11 months ago
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
Deep belief nets have been successful in modeling handwritten characters, but it has proved more difficult to apply them to real images. The problem lies in the restricted Boltzma...
Marc'Aurelio Ranzato, Alex Krizhevsky, Geoffrey E....